| Author: | Wang, Shuqi |
| Title: | Exploring the impact of generative AI on knowledge management processes for improved organizational performance |
| Advisors: | Sumbal, Muhammad Saleem (ISE) |
| Degree: | M.Sc. |
| Year: | 2024 |
| Subject: | Artificial intelligence Knowledge management Industrial management Organizational learning Hong Kong Polytechnic University -- Dissertations |
| Department: | Department of Industrial and Systems Engineering |
| Pages: | 106 pages : color illustrations |
| Language: | English |
| Abstract: | With the integration of digital technologies into manufacturing and industrial processes, the importance of the knowledge-based economy has become increasingly prominent, emphasizing intellectual capital, innovation, and information as key drivers of economic growth. In this context, the rapid development of GenAI technology has brought about the explosive growth of data volume and has demonstrated strong content creation capabilities, reshaping the way knowledge is created and acquired. However, the application of GenAI in knowledge management also brings challenges, such as cognitive confusion and the accuracy of knowledge content. This paper aims to explore how GenAI influences processes such as knowledge creation, acquisition, and sharing in an organizational context, and to analyze its combined impact on knowledge management to eventually improve organizational performance. Given that academia is a knowledge-intensive field, this research work focuses on the impact of GenAI on knowledge management in academia, in order to provide useful insights and support for academic institutions and individuals to better use and manage knowledge resources and enhance performance. |
| Rights: | All rights reserved |
| Access: | restricted access |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 7855.pdf | For All Users (off-campus access for PolyU Staff & Students only) | 2.46 MB | Adobe PDF | View/Open |
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